CN108475539A - Magnetic resonance imaging (MRI) controls - Google Patents
Magnetic resonance imaging (MRI) controls Download PDFInfo
- Publication number
- CN108475539A CN108475539A CN201680077196.1A CN201680077196A CN108475539A CN 108475539 A CN108475539 A CN 108475539A CN 201680077196 A CN201680077196 A CN 201680077196A CN 108475539 A CN108475539 A CN 108475539A
- Authority
- CN
- China
- Prior art keywords
- patient
- machine
- network
- data
- algorithm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
- A61B5/0036—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room including treatment, e.g., using an implantable medical device, ablating, ventilating
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
- G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Physics & Mathematics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Medicinal Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Chemical & Material Sciences (AREA)
- High Energy & Nuclear Physics (AREA)
- Infusion, Injection, And Reservoir Apparatuses (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The disclosure relates generally to the system and method for providing intelligent control to imaging system, associated patient's machine or both.In one embodiment, the system and method provide automatic magnetic resonance imaging (MRI) control.MRI infusion pumps/patient monitor can have cloud/internet connection, and can be while carrying out MRI to patient by the data transmission of patient to patient's network.The data can be compared with the historic patient data library in patient's network.Pump algorithm can be selected based on multiple factors.Such factor can include that patient vitals and electron medicine record.Selected pump algorithm can be used for controlling MRI infusion pumps.
Description
Cross reference to related applications
This application claims enjoy in entitled " the Magnetic Resonance Imaging submitted on December 31st, 2015
(MRI) its whole disclosure is incorporated to this by the priority of the U.S. Provisional Application No. 62/274079 of Control " by reference
Text.
Background technology
When patient is undergoing MRI flows, it is currently difficult to control MRI infusion pumps.Some pumps may be by independent room
Health care professionals' control, it is but unavailable to health care professionals because comparing data, therefore this control can
It can lead to mistake.
This field needs the improved system and method for providing intelligent MRI controls.
Invention content
The disclosure relates generally to be for provide intelligent control to imaging system, associated patient's machine or both
System and method.In one embodiment, which provides automatic magnetic resonance imaging (MRI) control.MRI infusion pumps/trouble
Person's monitor can have cloud/internet connection, and can be transmitted to patient data while patient is carrying out MRI
Patient's network.The data can be compared with the historic patient data library in patient's network.It can be selected based on multiple factors
Select pump algorithm.These factors may include patient vitals and electron medicine record.Selected pump algorithm can be used for controlling MRI infusions
Pump.
Description of the drawings
The attached drawing for being included to provide a further understanding of the present invention is incorporated herein to illustrate the embodiment of the present invention.With
Together, they are also used for explaining the principle of the present invention for description.In the accompanying drawings：
Fig. 1 shows showing for the example of the system including exemplary infusion display according to some embodiments of the present disclosure
It is intended to.
Fig. 2 shows according to some embodiments of the present disclosure for exemplary magnetic resonance imaging (MRI) control system
Network environment.
Fig. 3 is the flow chart for illustrating the method that information is controlled according to the MRI for identification of some embodiments of the present disclosure.
Fig. 4 is the flow for controlling the method for information for providing infusion pump illustrated according to some embodiments of the present disclosure
Figure.
Fig. 5 and Fig. 6, which is illustrated, can be stored in patient's network history data library according to some embodiments of the present disclosure
Exemplary data.
Fig. 7 shows the network environment of the exemplary PET/CT scanning control systems according to some embodiments of the present disclosure.
Fig. 8 is the stream for the method for illustrating the scan control information of PET/CT for identification according to some embodiments of the present disclosure
Cheng Tu.
Fig. 9 is the stream for illustrating the method for providing PET/CT scan control information according to some embodiments of the present disclosure
Cheng Tu.
Figure 10 illustrates the Exemplary computing systems that can be used for realizing the embodiment of the present invention.
Specific implementation mode
The present invention includes the system and method for providing intelligent magnetic resonance imaging (MRI) control.MRI infusion pumps/patient
Monitor can have cloud/internet connection, and patient data can be transmitted to patient while carrying out MRI to patient
Network.Data can be compared with the historic patient data library in patient's network.It can select to pump based on multiple factors
Algorithm.These factors may include patient vitals and electron medicine record.Selected pump algorithm can be used for controlling MRI infusion pumps.
Fig. 1 illustrates the environment 100 that can wherein implement the method for adjusting MRI controls.The environment 100 of Fig. 1 can be with
Including MRI infusions and patient monitor 102, communication network 150 (for example, cloud or internet), MRI networks 152, patient's network
160 and one or more third party 180.MRI networks 152 may include IV pumps interaction 156.Patient's network 160 may include
One or more pump algorithm 162, historical data base 164, third party application interface (API) and MRI interactions 168.
MRI is infused and patient monitor 102 can collect patient data during MRI.MRI and patient monitor 102 can
Storing the data being collected into database.The data stored can be sent to patient's network 160.Patient's network
160 can be in cloud.Transmitted data can be compared with the data in historical data base 164.Historical data base 164 can
To include the patient data being collected into during other one or more MRI flows.Historical data base may include from one or
The patient data that other multiple patients collect.Selection algorithm in algorithm 162 can be pumped from one or more.It can be based on transmission
Similarity between data and historical data base data associated with selected algorithm carrys out selection algorithm.For example, algorithm can be with
One group of historical data base data is associated, and between data that can be based on transmission and one group of historical data base data
Similarity carrys out selection algorithm.Historical data may include vital sign patient, patient data and/or electron medicine record.It can be with
Using selected algorithm, the control of MRI infusion pumps is selected to be transmitted to MRI infusions and patient monitor 102.
Fig. 2 illustrates another environment 200 that can wherein implement the method for adjusting MRI controls.The environment 200 of Fig. 2
May include infusion pump 210, communication network 150 (for example, cloud or internet), MRI networks 152, patient's network 160 and one
Or multiple third parties 180.Infusion pump 210 may include infusion pump basic software 212, communication interface 214, infusion pump patient data
Library 216, controller 218 and display 220.MRI networks 152 may include IV pumps interaction 156.MRI networks 152 can also wrap
Include MRI network foundations software 154.Patient's network 160 may include one or more pump algorithms 162, historical data base 164, the
Tripartite's application programming interfaces (API) and MRI interactions 168.Patient's network 160 can also include patient's network foundation software 166.Pump
Algorithm 162 can be stored in pump algorithm data-base (not shown).
Infusion pump 210 can record Patient readings during MRI, and the reading of record is stored in database 216.
Reading can be sent to MRI networks 152 from infusion pump 210.It can be sent and be read using communication interface 214 via communication network 150
Number.Transmitted reading can be sent to patient's network 160 from MRI networks 152.It can be sent to patient's network that will read
The reading is compared with historical data base 164 using patient's network foundation software 166 after 160.Patient's network foundation
Software 166 can identify the reading similar with transmitted reading from database 164.Patient's network foundation software 166 can
With identification algorithm associated with similar reading.Algorithm can similar reading be associated in database 164.Software 166 can
Being compared the algorithm identified and pump algorithm 162 to identify pump algorithm.Action associated with the pump algorithm identified
And/or suggest that MRI networks 152 can be sent to.The reading for being sent to patient's network 160 is also stored on historical data base
In 164.The algorithm identified can also be stored and associated with the reading sent in database 164.
Transmitted action can be sent to controller 218.Transmitted suggestion can be sent to display 220.
Infusion pump can control infusion pump using action and/or suggestion.Infusion pump can also use some in acting and/or suggesting
But it is not all of.For example, control infusion pump technical staff can select implementation act and/or suggest in some but be not complete
Portion.
One or more third parties 180 can access patient's network via third party API 170.One or more third parties
180 can be researcher and/or the manufacturer of MRI equipments.Third party 180 can be come using database 164 innovatory algorithm and/or
Innovatory algorithm.
Patient's network 160 can identify model name for infusion pump 210 based on the reading sent from infusion pump 210
And/or model type.Patient's network 160 can use model name and/or model type to be pumped in algorithm 162 from one or more
Selection pump algorithm.
Fig. 3 is the flow chart for illustrating the method 300 that MRI for identification controls information.In the step 302 of Fig. 3, patient's net
Network basic software 166 can initiate to communicate.Patient's network foundation software 166 can be initiated to communicate by various channels.Patient's net
Network basic software 166 can be initiated to communicate by communication interface.Communication interface can be included in patient's network 160.Communication
Interface can be communicated via communication network 150.
In step 304, patient's network foundation software 166 can continue the connection of poll and MRI networks 152.Patient's net
Network basic software 166 can be connected with poll until connection is established.It is sent out when between patient's network foundation software 166 and MRI networks 152
When life disconnects, patient's network foundation software 166 can be connected with poll.
Within step 306, patient's network foundation software 166 may be coupled to MRI networks 152.Patient's network foundation software
166 can be connected to MRI networks 152 via communication network 150.
In step 308, patient's network foundation software 166 can receive infusion pump database from MRI networks 152
216.Infusion pump database 216 can be supplied to patient's network 160 by MRI network foundations software 154.MRI networks 152
Infusion pump database 216 can be supplied to patient's network 160 after receiving database 216 from infusion pump 210.
In the step 310, patient's network foundation software 166 can be by the infusion pump database 216 received and trouble
Person's network history data library 164 is compared.
In step 312, patient's network foundation software 166 can identify and wrapped from patient's network history data library 164
Information as including the info class in the infusion pump database 216 received.For example may be used in patient's network history data library 164
To include and be included in the similar Patient readings of the reading in the infusion pump database 216 received.
In a step 314, patient's network foundation software 166 can be from 164 extraction algorithm of historical data base, wherein the calculation
Method can be associated with similar database information.For example, when the class in 166 identification database 216 of patient's network foundation software
When like information, patient's network foundation software 166 can extract algorithm associated with this similar information in database 216.
In step 316, the algorithm extracted and pump algorithm 162 can be compared by patient's network foundation software 166
And identify pump algorithm.Pump algorithm may be used to provide the control information specific to specific pump type or type.And it extracts
Algorithm can provide control information based on the comparison of Patient readings.
In step 318, patient's network foundation software 166 can be from the one or more actions of pump algorithm extraction identified
And/or one or more suggestions.
In step 320, patient's network foundation software 166 can be by one or more action and/or one or more suggestions
It is sent to MRI networks 152.
In step 322, the database 216 of transmission can be stored in history number by patient's network foundation software 166
According in library 164.
Fig. 4 is to illustrate the flow chart for controlling the method 400 of information for providing infusion pump.In the step 402 of Fig. 4, MRI
Network foundation software 154 can initiate to communicate.MRI network foundations software 154 can be initiated to communicate by various channels.MRI nets
Network basic software 154 can be initiated to communicate by communication interface.Communication interface can be included in MRI networks 152.Communication connects
Mouth can be communicated via communication network 150.
In step 404, MRI network foundations software 154 can continue the connection of poll and infusion pump 210.MRI network bases
Plinth software 154 can be connected with poll until connection is established.MRI network foundations software 154 can be in MRI network foundations software 154
Poll connects when being disconnected between infusion pump 210.
In a step 406, MRI network foundations software 154 can be connected to infusion pump 210.MRI network foundations software 154 can
To be connected to infusion pump 210 via communication network 150.
In a step 408, MRI network foundations software 154 can receive infusion pump database 216 from infusion pump 210.
Infusion pump database 216 can be provided by infusion pump basic software 212.
In step 410, MRI network foundations software 154 can be connected to patient's network 160.
In step 412, the infusion pump database 216 received can be sent to by MRI network foundations software 154
Patient's network 160.MRI network foundations software 154 can be via 150 transmission data library 216 of communication interface.Patient's network 160 can
The database 216 sent with using patient's network foundation software 166 to receive.
In step 414, MRI network foundations software 154 can receive one or more actions, one from patient's network 160
A or multiple suggestions or some combinations.This action and/or suggestion can be provided using patient's network foundation software 166.
In step 416, one or more action can be sent to controller 218 by MRI network foundations software 154.
In step 418, one or more suggestion can be sent to display 220 by MRI network foundations software 154.
Fig. 5 and Fig. 6 illustrates the embodiment for the tables of data 502 and 602 being stored in patient's network history data library 164.
As shown, the tables of data 502 of Fig. 5 may include Patient identification's row, days column, time row, model row, type column, drug row,
Blood oxygen saturation (SPO2%) row, pulse row, respiratory rate row, temperature row, blood pressure row and algorithm row.In other embodiments, may be used
To include more row or less row.For example, as shown in fig. 6, tables of data 602 further includes the example that identification can be performed automatically
The row of action, and provide a user the action of suggestion.Fig. 6 also shows the example algorithm that can be used for determining action and suggest.
Patient's network history data library 164 may include various patient datas.It, can be from multiple patients when carrying out MRI
Middle capture patient data.Such patient data may include Patient identification；The when captured date and time of designation date
Stamp；Model (or model name) and type information of the identification for the machine of MRI, wherein model (or model name) and type
Information can identify the infusion pump for MRI；The title of drug for MRI；The blood oxygen saturation captured from patient during MRI
Degrees of data；The pulse data captured from patient during MRI；The respiratory rate data captured from patient during MRI；In the MRI phases
Between from patient capture temperature data；And the blood pressure data captured from patient during MRI.
Patient's network history data library 164 can also include algorithm associated with patient data.When passing through patient's network
When 160 selection algorithm, which can be associated with patient data.
Patient's network history data library 164 can be created using multiple infusion pump databases 216.When additional defeated
When each of liquid pump database 216 is received, patient's network history data library 164 can be updated with including additional
Infusion pump database 216.
Referring now to Fig. 7-9, the system and method for the disclosure can be also used for controlling associated MRI system and equipment
The various aspects of Irnaging procedures.By example and without limitation, control of breathing system by Medspira LLC (for example, produced
Raw interactive control of breathing system) it can be with positron emission tomography (PET)/computer tomography (CT) scanner
It is used in combination, acquired image is related to the specific part of respiratory cycle.This is acquiring desired organ or tumour
It is desired when image, the organ or tumour may be shifted by abdomen during the part of respiratory cycle and deformed.
Current care supplier and other practitioners must when attempting to position organ or tumour identification to be scanned it is specific
Region.It can use and exhale in the case of control of breathing system and imaging system by using the system and method for the disclosure
It is identified for the set of the image of multiple patients for collecting target organ/tumour during inhaling the different piece in period
The dreamboat position of image.After using system and method disclosed herein, order or other instructions can be generated with certainly
Dynamic control imaging device (for example, positioning and aiming of PET/CT scanners) automatically controls respiratory system so that patient to be maintained at
The specific part of respiratory cycle, or both.So, the system and method for the disclosure can be used for suffering from similar by identification
" searching " target organ or tumour are come in the position of target in person.In various other embodiments, other patient's interactive systems, at
As system or its various combination can be used and controlled by the system and method for the disclosure, the patient parameter that will be changed over time
It is related to the image of acquisition or synchronous.
Fig. 7 illustrates another environment 700 that can wherein implement the method for adjusting PET/CT scan controls.Environment
700 may include control of breathing system 712, communication network 150 (for example, cloud or internet), PET/CT scannings network 702, trouble
Person's network 160 and one or more third parties 180.Control of breathing system 712 may include control of breathing system-based software
714, communication interface 716, control of breathing system patient database 718, controller 720 and display 722.PET/CT scans network
702 may include control of breathing system interaction 706.It can also include that PET/CT scans network foundation that PET/CT, which scans network 702,
Software 704.Patient's network 160 may include one or more control of breathing system algorithms 708, historical data base 164, third party
Application programming interfaces (API) and PET/CT scannings interaction 710.Patient's network 160 can also include patient's network foundation software
166.Control of breathing system algorithm 708 can be stored in control of breathing system algorithm database (not shown).
Control of breathing system 712 can record Patient readings during PET/CT is scanned, and the reading of record is stored in
In database 718.Reading can be sent to PET/CT scanning networks 702 from control of breathing system 712.Communication interface can be used
716 send reading via communication network 150.Transmitted reading can scan network 702 from PET/CT and be sent to patient's network
160.After reading is sent to patient's network 160, it can use patient's network foundation software 166 will reading and historical data
Library 164 is compared.Patient's network foundation software 166 can identify similar with transmitted reading from database 164
Reading.Patient's network foundation software 166 can identify algorithm associated with similar reading.Algorithm can in database 164
Similar reading it is associated.The algorithm identified and control of breathing system algorithm 708 can be compared by software 166, to know
Other control of breathing system algorithm.Action associated with the control of breathing system algorithm identified and/or suggestion can be sent
Network 702 is scanned to PET/CT.The reading for being sent to patient's network 160 is also stored in historical data base 164.The calculation identified
Method can also be stored and associated with the reading of the transmission in database 164.
Transmitted action can be sent to controller 720.Transmitted suggestion can be sent to display 722.
Control of breathing system can control control of breathing system using action and/or suggestion.Control of breathing system can also use dynamic
Make and/or suggest in some but be not all of.For example, the technical staff of control control of breathing system can select implementation to act
And/or suggest in some but be not all of.
One or more third parties 180 can access patient's network via third party API 170.One or more third parties
180 can be researcher and/or the manufacturer of PET/CT scanning devices.Third party 180 can be calculated using database 164 to improve
Method and/or innovatory algorithm.
Patient's network 160 can be identified based on the reading sent from control of breathing system 712 for control of breathing system
712 model name and/or model type.Patient's network 160 can using model name and/or model type come from one or
Control of breathing system algorithm is selected in multiple control of breathing system algorithms 708.
Fig. 8 is the flow chart for the method 800 for illustrating PET/CT scan controls information for identification.In step 802, patient
Network foundation software 166 can initiate to communicate.Patient's network foundation software 166 can be initiated to communicate by various channels.Patient
Network foundation software 166 can be initiated to communicate by communication interface.Communication interface can be included in patient's network 160.It is logical
Letter interface can be communicated via communication network 150.
In step 804, patient's network foundation software 166 can continue the connection of poll and PET/CT scanning networks 702.
Patient's network foundation software 166 can be connected with poll until connection is established.Patient's network foundation software 166 can be in patient's network
Poll connection when being disconnected between basic software 166 and PET/CT scanning networks 702.
In step 806, patient's network foundation software 166 may be coupled to PET/CT scanning networks 702.Patient's network base
Plinth software 166 can be connected to PET/CT scanning networks 702 via communication network 150.
In step 808, patient's network foundation software 166 can scan network 702 from PET/CT and receive control of breathing system
System database 718.Control of breathing system patient database 718 can scan network foundation software 704 by PET/CT and carry
Supply patient's network 160.After receiving database 718 from control of breathing system 712, PET/CT scans network 702 can be with
Control of breathing system patient database 718 is supplied to patient's network 160.
In step 810, the control of breathing system patient database that patient's network foundation software 166 can will receive
718 are compared with patient's network history data library 164.
In step 812, patient's network foundation software 166 can identify and wrapped from patient's network history data library 164
Information as including the info class in the control of breathing system patient database 718 received.Patient's network history data library 164
Such as may include that the patient similar with the reading being included in the control of breathing system patient database 718 that receives reads
Number.
In step 814, patient's network foundation software 166 can from historical data base 164 extraction algorithm, wherein should
Algorithm can be associated with similar database information.For example, when in 166 identification database 718 of patient's network foundation software
When similar information, patient's network foundation software 166 can extract algorithm associated with this similar information in database 718.
In step 816, patient's network foundation software 166 can be by the algorithm extracted and control of breathing system algorithm 708
It is compared, and identification of breathing control system algorithm.Control of breathing system algorithm may be used to provide to be controlled specific to specific breathing
The control information of system model or type processed.And the algorithm extracted can provide control letter based on the comparison of Patient readings
Breath.
In step 818, patient's network foundation software 166 can extract one from the control of breathing system algorithm identified
A or multiple actions and/or one or more suggestions.
In step 820, patient's network foundation software 166 can be by one or more action and/or one or more suggestions
It is sent to PET/CT scanning networks 702.
In step 822, the database 718 of transmission can be stored in history number by patient's network foundation software 166
According in library 164.
Fig. 9 is the flow chart for illustrating the method 900 for providing PET/CT scan control information.In step 902, PET/
CT scan network foundation software 704 can initiate to communicate.PET/CT scanning network foundations software 704 can be sent out by various channels
Play communication.PET/CT, which scans network foundation software 704, to initiate to communicate by communication interface.Communication interface can be included in
PET/CT is scanned in network 702.Communication interface can be communicated via communication network 150.
In step 904, PET/CT, which scans network foundation software 704, can continue poll and control of breathing system 712
Connection.PET/CT is scanned network foundation software 704 and can be connected with poll until connection is established.When in PET/CT scanning network foundations
When being disconnected between software 704 and control of breathing system 712, PET/CT scanning network foundations software 704 can be connected with poll.
In step 906, PET/CT scanning network foundations software 704 may be coupled to control of breathing system 712.PET/CT
Scanning network foundation software 704 can be connected to control of breathing system 712 via communication network 150.
In step 908, PET/CT scans network foundation software 704 can receive breathing control from control of breathing system 712
System patient database 718 processed.Control of breathing system patient database 718 can be carried by control of breathing system-based software 714
For.
In step 910, PET/CT scans network foundation software 704 and may be coupled to patient's network 160.
In step 912, PET/CT scans the control of breathing system patient number that network foundation software 704 can will receive
It is sent to patient's network 160 according to library 718.PET/CT scans network foundation software 704 can be via 150 transmission data of communication interface
Library 718.Patient's network 160 can receive the database 718 of transmission using patient's network foundation software 166.
In step 914, PET/CT scanning network foundations software 704 can receive one or more from patient's network 160
Action, one or more suggestions or some combinations.These actions and/or suggestion can use patient's network foundation software 166
To provide.
In step 916, one or more action can be sent to controller by PET/CT scanning network foundations software 704
720.In step 918, one or more suggestion can be sent to display 722 by PET/CT scanning network foundations software 704.
Similar to the infusion pump in Fig. 2-4, the control of breathing system of Fig. 7-9 is interacted with patient during Irnaging procedures
Patient's machine.So, the system and method for the disclosure can be during other Irnaging procedures together with other patient's machines
It uses.
Figure 10 illustrates the Exemplary computing systems 1000 that can be used to implement the embodiment of the present invention.The calculating system of Figure 10
System includes one or more processors 1002 and memory 1004.1004 part of main memory is stored for being held by processor 1002
Capable instruction and data.Main memory 1004 can store executable code in operation.The system of Figure 10 can also include big
Capacity storage device 1006, portable storage medium drives 1008, output equipment 1010, user input equipment 1012, figure
Display 1014 and peripheral equipment 1016.
Component shown in Figure 10 is depicted as connecting via single bus 1018.However, the component can pass through one
A or multiple data transmission unit connections.For example, processor unit 1002 and main memory 1004 can be via local microprocessors
Device bus connects, and mass-memory unit 1006, peripheral equipment 1016, portable memory apparatus 1008 and display system
1014 can connect via one or more input/output (I/O) bus.
Can be for storing for processing with the mass-memory unit 1006 that disc driver or CD drive are realized
The non-volatile memory device of data and instruction that device unit uses.Mass-memory unit 1006 can store for realizing this
The embodiment of invention and the system software for being used to be loaded into the software in main memory 1004.
1008 combined type portable non-volatile memory medium of portable memory apparatus (such as floppy disk, CD or digital video
Disk) it is operated, data and code are input to the computer system of Figure 10 and from its output data and code.For reality
The system software of the existing embodiment of the present invention can be stored on such portable medium, and via portable memory apparatus
1008 are input to computer system.
Input equipment 1012 provides the part of user interface.Input equipment 1012 may include for input alphanumeric and
The alphanumeric keyboard (such as keyboard) of other information, or the indication of such as mouse, trace ball, stylus or cursor direction key are set
It is standby.In addition, system 1000 as shown in Figure 10 includes output equipment 1010.The example of suitable output equipment 1010 includes raising one's voice
Device, printer, network interface and monitor.
Display system 1014 may include liquid crystal display (LCD) or other suitable display equipment.Display system 1014
Text and graphical information are received, and handles the information for being output to display equipment.
Peripheral equipment 1016 may include any kind of computer for adding additional function to computer system
Holding equipment.For example, peripheral equipment may include modem or router.
Component included in the computer system 1000 of Figure 10, which is that typically in computer system, those of to be found, can
To be suitable for the invention embodiment, and it is intended to indicate that the wide class of this machine element as known in the art.Cause
This, the computer system 1000 of Figure 10 can be personal computer, handheld computing device, phone, mobile computing device, work
It stands, server, minicomputer, mainframe computer or any other computing device.Computer can also include different bus
Configuration, the network platform, multi processor platform etc..Can use various operating systems, including Unix, Linux, Windows,
Macintosh OS, Palm OS and other suitable operating systems.
The present invention can be implemented in using the operable application of various equipment.Non-transient computer-readable storage media is
Refer to any one or more of medium for participating in providing instruction to central processing unit (CPU) for execution.This medium can be adopted
Take many forms, including but not limited to non-volatile and Volatile media, for example, CD or disk and dynamic memory respectively.
The common form of non-transient computer-readable media include for example floppy disk, floppy disc, hard disk, tape, any other magnetic medium,
CD-ROM disk, digital video disc (DVD), any other optical medium, RAM, PROM, EPROM, FLASHEPROM and it is any its
Its memory chip or cassette memory.
It is transmitted to CPU in the one or more sequences for instructing one or more for may relate to various forms when executing
Transmission medium.Bus transfers data to system RAM, CPU and therefrom fetches and execute instruction.The instruction that system RAM is received
It can be optionally stored on fixed disk before or after being executed by CPU.Similarly, it is possible to implement various forms of storages
Equipment and the identical necessary network interface of implementation and network topology.
Various computing devices 1000 disclosed herein include the computer-readable medium (CRM) in memory 1004, at it
On store described application and software.Computer-readable medium may include that can be situated between by the volatibility that processor 1002 accesses
Matter, non-volatile media, removable media, nonremovable medium and/or another usable medium.It is unrestricted by example,
Computer-readable medium includes computer storage media and communication media.Computer storage media includes information for storage
Non-transient storage memory that method or technique is realized, Volatile media, non-volatile media, removable media and/or can not
Removal medium, described information are, for example, computer/machine readable/executable instruction, data structure, program module or other numbers
According to.Computer/machine readable/executable instruction, data structure, program module or other data may be implemented in communication media, and
And include information transmitting medium or system, they are all hardware.
Although provided above and description various flow charts can show the operation executed by the particular embodiment of the present invention
Certain order, it should be appreciated that, such order is exemplary (for example, alternative embodiment can be held in different order
Row operation, combines specific operation, overlaps specific operation etc.).
The foregoing detailed description of this technology has been presented for the purpose of illustration and description.This is not exhaustion or by skill
Art is limited to disclosed precise forms.In view of above-mentioned introduction, many modifications and variations are possible.Selection is described to be implemented
Example is and to enable others skilled in the art each to best explain the principle and its practical application of the technology
The technology is used using the technology in kind embodiment and to be suitable for the various modifications of expected special-purpose.The model of technology
It encloses and is intended to be defined by the claims.
Claims (20)
1. a kind of method for automatic identification imaging system control information, the method includes：
Patient data is received from database associated with patient's machine, wherein patient's machine during Irnaging procedures
Device is interacted with the patient of the Irnaging procedures；
The data received are compared with the historical data in historical data base, wherein the historical data is included in one
The patient data received during other a or multiple Irnaging procedures；
Identify the algorithm for the imaging system based on the comparison, wherein the algorithm is received with similar to described
Data historical data it is associated；
The control information for the imaging system is identified using the algorithm；And
The control information identified is sent to Imaging machine.
2. according to the method described in claim 1, further including：
For imaging system described in the Imaging machine poll；And
It is automatically attached to the Imaging machine.
3. according to the method described in claim 1, wherein, the data received are compared with historical data further include
Identification is similar to the particular historical data of the data received.
4. according to the method described in claim 1, further including：
From the historical data base searching algorithm data；And
The algorithm identified and patient's machine algorithm associated with patient's machine are compared.
5. according to the method described in claim 1, further including the control information data storing that will be identified in the historical data
In library.
6. a kind of system for automatic identification imaging system control information, the system comprises：
Patient's machine comprising patient's machine database；
Imaging system comprising Imaging machine；And
Patient's network computing device comprising memory, processor and historical data base；The processor is used for：
During Irnaging procedures patient data is received from patient's machine database；
The data received are compared with the historical data in the historical data base, wherein the historical data includes
The patient data received during other one or more Irnaging procedures；
Identify the algorithm for the imaging system based on the comparison, wherein the algorithm is received with similar to described
Data historical data it is associated；
The control information for the imaging system is identified using the algorithm；And
The control information identified is sent to the Imaging machine.
7. system according to claim 6, further includes the processor, the processor is used for：
For imaging system described in the Imaging machine poll；And
It is automatically attached to the Imaging machine.
8. system according to claim 6, wherein be compared the data received with historical data and further include
Identification is similar to the particular historical data of the data received.
9. system according to claim 6, further includes the processor, the processor is used for：
From the historical data base searching algorithm data；And
The algorithm identified and patient's machine algorithm associated with patient's machine are compared.
10. system according to claim 6 further includes the processor, the control that the processor is used to be identified
Information data storing is in the historical data base.
11. system according to claim 6, wherein patient's machine is infusion pump.
12. system according to claim 6, wherein patient's machine is control of breathing system.
13. a kind of method for automatically providing patient's apparatus control information, the method includes：
At imaging system patient data is received from database associated with patient's machine；
The patient data received is sent to patient's network computing device；
Algorithm of the identification for patient's machine at patient's network computing device；
Patient's apparatus control information is identified at patient's network computing device；And
The control information identified is sent to patient's machine.
14. according to the method for claim 13, further including：
For patient's machine polled network；And
It is automatically attached to patient's machine.
15. according to the method for claim 13, further include the patient's apparatus control information that will be identified be sent to it is described at
As system；Wherein, patient's apparatus control information is sent to patient's machine from the imaging system.
16. further including according to the method for claim 13, showing identified control Information Number at patient's machine
According to.
17. a kind of system for automatically providing patient's apparatus control information, the system comprises：
Patient's machine comprising database；
Patient's network computing device comprising patient's network processing unit, patient's network memory and historical data base；
Imaging system comprising imaging memory, imaging processor and Imaging machine；
The system is used for：
At the imaging processor patient data is received from the database；
The patient data received is sent to patient's network computing device；
Algorithm of the identification for patient's machine at patient's network computing device；
Patient's apparatus control information is identified at patient's network computing device；And
The control information identified is sent to patient's machine.
18. system according to claim 17, further includes the imaging processor, the imaging processor is used for：
For patient's machine polled network；And
It is automatically attached to patient's machine.
19. system according to claim 17, further includes patient's network computing device, patient's network calculations are set
It is ready for use on the patient's apparatus control information that will be identified and is sent to the imaging system, the trouble that the imaging processor will be identified
Person's apparatus control information is sent to patient's machine.
20. system according to claim 17, further includes patient's machine, patient's machine is identified for showing
Control information data.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562274079P | 2015-12-31 | 2015-12-31 | |
| US62/274,079 | 2015-12-31 | ||
| PCT/IB2016/058002 WO2017115264A2 (en) | 2015-12-31 | 2016-12-26 | Magnetic resonance imaging (mri) control |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108475539A true CN108475539A (en) | 2018-08-31 |
| CN108475539B CN108475539B (en) | 2022-08-16 |
Family
ID=57794318
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201680077196.1A Active CN108475539B (en) | 2015-12-31 | 2016-12-26 | Magnetic Resonance Imaging (MRI) control |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US10902947B2 (en) |
| EP (1) | EP3398096A2 (en) |
| CN (1) | CN108475539B (en) |
| WO (1) | WO2017115264A2 (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060071797A1 (en) * | 1999-06-23 | 2006-04-06 | Brian Rosenfeld | Telecommunications network for remote patient monitoring |
| US20060137699A1 (en) * | 2004-12-23 | 2006-06-29 | Moore Mark P | Providing data destination information to a medical device |
| CN1925883A (en) * | 2004-01-27 | 2007-03-07 | 艾斯柏克特医疗系统股份有限公司 | System for adaptive drug delivery |
| CN101053513A (en) * | 2006-04-13 | 2007-10-17 | 通用电气公司 | Case based outcome prediction in a real-time monitoring system |
| US20070286331A1 (en) * | 2004-04-08 | 2007-12-13 | Keall Paul J | Method And System Of Adaptive Control For Reducing Motion Artifacts And Patient Dose In Four Dimensional Computed Tomography |
| CN101574257A (en) * | 2008-02-28 | 2009-11-11 | 伊西康内外科公司 | Data analysis for an implantable restriction device and a data logger |
| CN104036445A (en) * | 2014-06-17 | 2014-09-10 | 南京邮电大学 | Intelligent medical treatment personalization recommendation system and implementation method thereof |
| US20140374476A1 (en) * | 2013-06-21 | 2014-12-25 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling the operation of a medical device |
| US9002083B2 (en) * | 2013-02-15 | 2015-04-07 | Covidien Lp | System, method, and software for optical device recognition association |
| CN105022911A (en) * | 2014-04-28 | 2015-11-04 | B·布莱恩·阿维图姆股份公司 | Data processing and communication unit for recording patient data in therapy-free intervals |
| CN105125215A (en) * | 2015-10-08 | 2015-12-09 | 湖南明康中锦医疗科技发展有限公司 | Neural network based breathing machine state analytic method and device |
| US10290365B2 (en) * | 2014-03-17 | 2019-05-14 | Fuji Xerox Co., Ltd. | Image processing apparatus, image processing method, and non-transitory computer readable medium |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070239490A1 (en) * | 2000-11-02 | 2007-10-11 | Sullivan Daniel J | Computerized risk management module for medical diagnosis |
| US7835927B2 (en) | 2002-12-27 | 2010-11-16 | Carefusion 303, Inc. | Medication management system |
| WO2005101279A2 (en) | 2004-04-12 | 2005-10-27 | Baxter International Inc. | System and method for medical data tracking, analysis and reporting for a healthcare system |
| US8105282B2 (en) | 2007-07-13 | 2012-01-31 | Iradimed Corporation | System and method for communication with an infusion device |
| US20130110547A1 (en) | 2011-04-07 | 2013-05-02 | Master Mobile Products, Llc | Medical software application and medical communication services software application |
| WO2013036842A2 (en) * | 2011-09-08 | 2013-03-14 | Radlogics, Inc. | Methods and systems for analyzing and reporting medical images |
| EP3195797B1 (en) * | 2012-05-07 | 2019-07-24 | Dermspectra LLC | System and apparatus for automated total body imaging |
| US9717461B2 (en) * | 2013-01-24 | 2017-08-01 | Kineticor, Inc. | Systems, devices, and methods for tracking and compensating for patient motion during a medical imaging scan |
| US10493298B2 (en) * | 2013-08-02 | 2019-12-03 | Varian Medical Systems, Inc. | Camera systems and methods for use in one or more areas in a medical facility |
| JP6220310B2 (en) * | 2014-04-24 | 2017-10-25 | 株式会社日立製作所 | Medical image information system, medical image information processing method, and program |
| US10303962B2 (en) * | 2015-04-27 | 2019-05-28 | Ztech, Inc. | Method and system for generating machine-readable biometric data |
-
2016
- 2016-12-26 CN CN201680077196.1A patent/CN108475539B/en active Active
- 2016-12-26 WO PCT/IB2016/058002 patent/WO2017115264A2/en active Application Filing
- 2016-12-26 EP EP16825899.4A patent/EP3398096A2/en not_active Withdrawn
- 2016-12-26 US US16/063,713 patent/US10902947B2/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060071797A1 (en) * | 1999-06-23 | 2006-04-06 | Brian Rosenfeld | Telecommunications network for remote patient monitoring |
| CN1925883A (en) * | 2004-01-27 | 2007-03-07 | 艾斯柏克特医疗系统股份有限公司 | System for adaptive drug delivery |
| US20070286331A1 (en) * | 2004-04-08 | 2007-12-13 | Keall Paul J | Method And System Of Adaptive Control For Reducing Motion Artifacts And Patient Dose In Four Dimensional Computed Tomography |
| US20060137699A1 (en) * | 2004-12-23 | 2006-06-29 | Moore Mark P | Providing data destination information to a medical device |
| CN101053513A (en) * | 2006-04-13 | 2007-10-17 | 通用电气公司 | Case based outcome prediction in a real-time monitoring system |
| CN101574257A (en) * | 2008-02-28 | 2009-11-11 | 伊西康内外科公司 | Data analysis for an implantable restriction device and a data logger |
| US9002083B2 (en) * | 2013-02-15 | 2015-04-07 | Covidien Lp | System, method, and software for optical device recognition association |
| US20140374476A1 (en) * | 2013-06-21 | 2014-12-25 | Samsung Electronics Co., Ltd. | Method and apparatus for controlling the operation of a medical device |
| US10290365B2 (en) * | 2014-03-17 | 2019-05-14 | Fuji Xerox Co., Ltd. | Image processing apparatus, image processing method, and non-transitory computer readable medium |
| CN105022911A (en) * | 2014-04-28 | 2015-11-04 | B·布莱恩·阿维图姆股份公司 | Data processing and communication unit for recording patient data in therapy-free intervals |
| CN104036445A (en) * | 2014-06-17 | 2014-09-10 | 南京邮电大学 | Intelligent medical treatment personalization recommendation system and implementation method thereof |
| CN105125215A (en) * | 2015-10-08 | 2015-12-09 | 湖南明康中锦医疗科技发展有限公司 | Neural network based breathing machine state analytic method and device |
Non-Patent Citations (1)
| Title |
|---|
| PHILIPPE GIRAUD AND ANNIE HOULE: "Respiratory Gating for Radiotherapy: Main Technical Aspects and Clinical Benefits", 《ISRN PULMONOLOGY》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108475539B (en) | 2022-08-16 |
| WO2017115264A2 (en) | 2017-07-06 |
| US20200286617A1 (en) | 2020-09-10 |
| WO2017115264A3 (en) | 2017-08-17 |
| US10902947B2 (en) | 2021-01-26 |
| EP3398096A2 (en) | 2018-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11816771B2 (en) | Augmented reality system for displaying patient data | |
| US8254649B2 (en) | Medical image observation system | |
| CN111430000A (en) | Intelligent injection pump system, control method and medium thereof | |
| US20210304881A1 (en) | Systems and methods of producing patient encounter records | |
| KR20130053587A (en) | Medical device and medical image displaying method using the same | |
| US9412047B2 (en) | Medical information processing apparatus | |
| JP2010039956A (en) | Output device and method thereof, program, and recording medium | |
| US20130173439A1 (en) | System and Method for Remote Veterinary Image Analysis and Consultation | |
| JP6316546B2 (en) | Treatment plan formulation support device and treatment plan formulation support system | |
| JP2015197735A (en) | Guidance information distribution device, control method of guidance information distribution device, guidance information distribution program, and guidance information distribution system | |
| US20090245609A1 (en) | Anatomical illustration selecting method, anatomical illustration selecting device, and medical network system | |
| JP6095324B2 (en) | In-hospital patient guidance system and patient portable terminal | |
| US20230084977A1 (en) | Systems and methods to accept speech input and edit a note upon receipt of an indication to edit | |
| CN108475539A (en) | Magnetic resonance imaging (MRI) controls | |
| US20190244696A1 (en) | Medical record management system with annotated patient images for rapid retrieval | |
| JP2014086001A5 (en) | ||
| CA3083090A1 (en) | Medical examination support apparatus, and operation method and operation program thereof | |
| US20210304860A1 (en) | Systems and methods of integrating medical device case files with corresponding patient care records | |
| CN103548029A (en) | Method and system for image acquisition workflow. | |
| CN105451642A (en) | A system and method for real time analysis of medical imaging | |
| KR101120980B1 (en) | Picture archiving and communication system and management method thereof and dose-volume histogram display device | |
| CN115867981A (en) | Systems, methods, and computer program products for providing a gateway connecting a fluid delivery system and an external system | |
| JP2015219900A (en) | Medical care record transfer system and medical care record transfer method | |
| US20100145727A1 (en) | Interaction between healthcare software products | |
| WO2023070284A1 (en) | Anonymization processing method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |